At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Data Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey.

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your accounts. You will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected.

This is a hybrid technical and commercial role. It is commercial in the sense that you will own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships, building plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

You will report directly to the Senior Manager for Delivery Solutions Architects in the region as part of the Field Engineering organisation.

The impact you will have:

You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.
Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.
Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.
Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.
Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover key work streams.

What we look for:

7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers
Programming experience in a core language (i.e. one of Python, SQL, Scala, Spark)
Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Understanding of solution architecture related distributed data systems
Technical program, or project management including account, stakeholder and resource management accountability
Experience resolving complex and important escalation with senior customer executives
Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Business proficiency in Spanish is required as a minimum.

Benefits

- Private medical insurance
- Life, accident & disability insurance
- Equity awards
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Home office & work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus

#LI-hybrid

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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